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How to Automate Request Token Generation with Python
Generating the request_token in the Zerodha KiteConnect API is not only a mandatory daily step for accessing trading APIs but also crucial for automating stock market strategies and integrating seamlessly with Zerodha’s brokerage platform. However, doing it manually every single day can quickly become time-consuming for algo traders. Therefore, in this guide, we’ll clearly explain how to automate the entire process using Python and Selenium. Moreover, we will walk you through each step — from logging into Zerodha automatically to extracting the request_token from the redirect URL. Finally, by the end of this tutorial, you will have a fully working script that speeds up your trading setup and makes your…
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Weekly Stock Analysis | Stock Trends & Forecast
Stay updated with weekly insights on Indian stock including technical analysis, fundamentals, support/resistance levels, volume trends, and market sentiment. Perfect for traders and investors. 1. Adani Ports Weekly Analysis | Stock Trends & Insights Business Model: Adani Ports India’s largest private port operator . Adani Ports builds and runs big sea ports where ships come in to load and unload goods.They handle different types of cargo: Whenever a ship uses their port, Adani charges a fee – this is one major way they earn revenue. They also help companies move their goods from the port to factories or cities by: This makes their business end-to-end, from sea to destination. Fundamental…
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How to Calculate Simple Buy And Hold Strategy in Python
This Python script loads historical stock or index data (like the Nifty index) from a CSV file, processes it to calculate daily logarithmic returns, and visualizes both the raw prices and derived returns using plots and histograms. It then computes cumulative returns to simulate the performance of a long-term investment. Through the use of pandas, numpy, and matplotlib, it offers both numerical insights and clear visualizations to help analyze the asset’s behavior over time. 1.Importing Libraries 2. Reading the Data 3. Plotting the Data 4. Calculating Logarithmic Returns 5. Cleaning Data 6. Visualizing Returns 7. Cumulative Return Calculations 8. Adding and Plotting Cumulative Returns Example: full program to calculate stock…
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How to Read CSV, Analyze Returns, and Plot Stock Data in Python
What is Matplotlib? Matplotlib is a powerful and widely used data visualization library in Python. It allows you to create a wide range of static, interactive, and animated plots, making it an essential tool for data analysis, data science, and machine learning. What is Pandas in Python? Pandas is a powerful and easy-to-use open-source Python library for data manipulation and analysis. It provides fast, flexible, and expressive data structures like Series and DataFrame, making it ideal for working with structured data. What is NumPy in Python? NumPy (short for Numerical Python) is a fundamental library for numerical computing in Python. It provides support for multi-dimensional arrays and high-performance mathematical operations…
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What is Python?
Python is a high-level, and interpreted programming language known for its simplicity and readability. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is widely used in web development, data science, machine learning, automation, and more. Key Features of Python Common Built-in Modules in Python Python also has thousands of third-party libraries like NumPy, Pandas, TensorFlow , Matplotlib . How to setup python environment ? . First of all we have to create python environment , create an folder structure in your directory and setup in that particular folder. Syntax: conda create -p venv python==3.13 What is conda ? . Conda is an open-source package management and…